Manipal Academy of Higher Education

The future of high-dose, high-intensity neurorehabilitation: Consensus-based core recommendations from the fourth Stroke Recovery and Rehabilitation Roundtable

Objective: Convergent evidence indicates that high-dose, high-intensity rehabilitation (HDHI) improves outcomes beyond usual care after stroke, yet implementation remains limited. While questions of optimal dose, timing, and delivery format continue to be refined, the biological...

Effect of thermochemical silicon diffusion and age hardening on the mechanical and tribological properties of commercial grade aluminium

Abstract Commercially available pure aluminium is an alloy with Si, Cu and Mg impurities lacking in strength and surface hardness compared to its conventional alloys due to small quantity of alloying elements. This study investigates the property alteration with a process of high...

Dynamic interaction and energy redistribution in shared DC-link multi-output CC–CV flyback converters fed by an MPC-controlled boost PFC

Abstract Multi-output Constant Current–Constant Voltage (CC–CV) power conversion systems are increasingly employed in battery charging applications because they enable multiple charging channels to operate from a common Direct Current (DC)-link. However, the dynamic interaction a...

White analytical chemistry-driven, blue-guided LC-MS/MS method for simultaneous quantification of metformin and sitagliptin in human plasma

Abstract A liquid chromatography-tandem mass spectrometry method was developed for the simultaneous determination of metformin (MET) and sitagliptin (SIT) in human plasma. Chromatographic separation was achieved on an Endurus C18 pro-XR 4.6 × 100 mm column, using methanol and 2 m...

A Hybrid Deep Reinforcement Learning Framework for Efficient Cloud Resource Scheduling

Abstract Cloud computing enables on-demand access to scalable virtualized resources. However, efficient task scheduling in cloud computing remains a challenge because of the dynamic and heterogeneous nature of workloads. This paper proposes a hybrid Deep Reinforcement Learning (D...

An in-situ substrate heating strategy for residual stress reduction and mechanical property enhancement in wire-arc additive manufactured Nickel Aluminium Bronze (NAB) alloy

Wire-Arc Additive Manufacturing (WAAM) offers a rapid manufacturing route for the fabrication of Nickel Aluminium Bronze (NAB) alloy marine components compared to conventional casting processes. However, high cooling rates and cyclic thermal conditions inherent to the WAAM proces...

Quantum technologies in clinical medicine: a systematic cross-domain synthesis and translational readiness taxonomy

Abstract Quantum technologies — encompassing quantum sensing, quantum computing and machine learning (QML), quantum nanomaterials, and quantum cryptography — represent an emerging class of physical and computational tools with the potential to address fundamental limitations in c...

Diagnostic accuracy of single-, tri-, and four-phasic CT urography and radiation dose assessment: a systematic review and meta-analysis

Abstract Background Computed tomography urography (CTU) is widely used for evaluating urinary tract disorders, but the optimal number of acquisition phases remains uncertain because additional phases increase radiation exposure. This study aimed to evaluate the diagnostic accurac...

Mapping mindfulness: a systematic review and a framework for developing organizational mindfulness capability

Purpose This study aims to synthesize workplace mindfulness literature, identify research gaps, and propose a future agenda. Design/methodology/approach A systematic review of 53 peer-reviewed articles was conducted to examine the antecedents, mechanisms and outcomes of mindfulne...

Development of discriminatory and biopredictive bicarbonate buffer based dissolution method to screen delayed release formulations

Objective- To develop a novel, discriminatory and biopredictive bicarbonate buffer (BB)-based dissolution method to understand the behaviour of oral delayed release (DR) formulations containing Mesalamine.Significance- Conventional dissolutions have limitations in obtaining discr...

Comparison of Ultrasound versus Combined Peripheral Nerve Stimulator Plus Ultrasound-guided Supraclavicular Blocks of Brachial Plexus for Upper Limb Surgeries

Abstract Background: Ultrasound (USG)-guided supraclavicular blocks are an asset in the realm of regional anaesthesia. Newer approaches, such as USG plus peripheral nerve stimulator (PNS), have often been indicated for better outcomes. Aim: The aim of the study was to compare USG...

Hybrid CNN-GRU framework for wind turbine blade defect classification and data-driven severity assessment for predictive maintenance

Abstract The integrity of wind turbine blades is essential for the continuous production of renewable energy. If left unchecked, surface pollution and fissures hasten structural deterioration, lower aerodynamic efficiency, and result in catastrophic blade failure with serious saf...

Unveiling the self through augmented reality consumption experiences

Purpose Technology-mediated consumption experiences can influence consumers in ways that extend beyond attitude changes or behavioural responses, inspiring curiosity and openness about the self. Focusing on augmented reality (AR) tools, this study aims to develop and validate a f...

Urinary metabolomic signatures associated with left ventricular hypertrophy in chronic kidney disease: an exploratory gas chromatography-mass spectrometry study

Abstract Although left ventricular hypertrophy (LVH) is common in people with chronic kidney disease (CKD); its mechanisms are not well understood. Metabolomic profiling may reveal novel mechanistic pathways linked to cardiac remodelling in CKD patients. In this single-centre cro...

CrayStack ensemble machine learning for predicting engine performance and emissions of multiple feedstock biodiesel blends with CaO-Al2O3 nanoparticles

Abstract The global transition toward sustainable energy has positioned multi-oil feedstocks (Garcinia gummi-gutta and Garcinia indica) to increase feedstock availability, which is vital to biodiesel production, thereby reducing fossil fuel dependencies and limiting harmful emiss...

Design and development of 5-aminoindan-based chemosensor for Hg2+ detection and cytotoxicity evaluation

Abstract Novel 5-aminoindan-based azo derivatives (3a–e) containing an indane moiety were designed and synthesized via diazotization and coupling reactions. The synthesized compounds were characterized by UV–Vis, FT-IR, 1 H NMR, and LC–MS spectral studies. Their electronic proper...

A wideband high-isolation four-port MIMO antenna with orthogonal diversity and DGS for 5G sub-6 GHz applications

Abstract The 5G NR sub-6 GHz bands n77 (3.3–4.2 GHz) and n78 (3.3–3.8 GHz) are widely used for modern 5G communication systems due to their balanced coverage and capacity. This work presents a compact wideband four-port MIMO antenna employing orthogonal diversity and defected gro...

Metacognitive team-based learning for creative problem-solving in Indian medical undergraduates: a single-arm pre-post quasi-experimental mixed-methods study

Abstract Background Metacognitive and team-based strategies can strengthen problem-solving; however, many Indian medical undergraduates remain reliant on rote memorisation with limited exposure to structured, creativity-focused pedagogy. Structured interventions combining metacog...

Clinicopathological characteristics, diagnostic challenges, and systemic implications of metastatic tumors to the eyelid: a systematic review

Abstract Background Metastatic tumors to the eyelid are rare but clinically significant, often indicating advanced systemic malignancy or presenting as the first sign of an occult primary. Histopathology is the diagnostic cornerstone, yet the spectrum of clinicopathological patte...

Agentic AI and consumer engagement in sustainable health and wellness tourism: reimagining service facilitation in digitalized ecosystems

Purpose The study explores agentic AI characterization on autonomy, adaptivity, empathy and transparency shaping sustainable consumer engagement within health and wellness tourism. Further, it aims to understand the mechanisms of AI agency promoting long-term trust, empathy and s...